Author
Kim
Backend software engineer working with Java, Spring Boot, and Kafka. I write about engineering problems, performance work, and architecture decisions from development and operations.
-
Implementing Java Circuit Breaker Pattern with Resilience4j for Fault Tolerant Microservices
Implement Java circuit breakers with Resilience4j to build fault tolerant microservices that gracefully handle failures and improve system resilience.
-
Designing Fault-Tolerant AI Model Serving Architectures with Kubernetes
Explore best practices and strategies to build resilient AI model serving systems with Kubernetes’ built-in fault tolerance features.
-
Building Fault-Tolerant REST APIs with Idempotency and Rate Limiting: A Dev Guide
A practical guide for backend engineers to build fault-tolerant REST APIs using idempotency keys and Redis-based token bucket rate limiting in Node.js and Express.
-
Implementing Kafka Consumer Backpressure and Flow Control for Stable Streaming
Explore techniques to manage Kafka consumer load using backpressure and flow control for resilient, scalable streaming applications.
-
Custom Health Indicators in Spring Boot Actuator: Timeouts, Custom Statuses, and the Aggregation Rules
A tested Spring Boot 3.5.16 health indicator that cannot hang the endpoint, plus what actually happens when you return a custom WARN status and when you override http-mapping.
-
Practical Guide to Using Java Vector API for Optimized Data-Parallel Computations
Learn to harness the Java Vector API for explicit SIMD programming with a detailed setup guide, end-to-end example, verification, troubleshooting, and production best practices.
-
Implementing Robust Data Versioning for AI Model Reproducibility in Production
A practical guide for AI engineers to implement robust data versioning with DVC and Git, ensuring reproducible AI model training and deployment in production.
-
Implementing Retry Logic with Exponential Backoff in Distributed Systems: A Comprehensive Dev Guide
Master retry logic with exponential backoff to improve fault tolerance and stability in distributed systems with practical strategies and code examples.
